In social sciences, education, and public health research, researchers often conduct small
pilot studies (or may have planned for a larger sample but lost too many cases due to …

What do you do when you realize that the data set from the study that you have just
completed violates the sample size or other requirements needed to apply parametric …

“... a very useful resource for courses in nonparametric statistics in which the emphasis is on
applications rather than on theory. It also deserves a place in libraries of all institutions …

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a
conceptual framework for choosing the most appropriate type of test in various research …

I have been working as an applied psychologist for many years, and there are a few things
that have consistently stood out, for me at least, in the course of my experiences. Possibly …

The use of parametric or nonparametric approaches when analyzing data is a major
decision that investigators often confront. Although this decision may impact the validity of …

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and
Behavioral Sciences presents the concepts, principles, and methods used in performing …

A practical and understandable approach to nonparametric statistics for researchers across
diverse areas of study As the importance of nonparametric methods in modern statistics …

While there are books focusing on parametric tests, the domain of nonparametric tests is
mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric …

Nonparametric Statistical Methods begins with the list of advantages of non-parametric (or,
more precisely, distribution-free) methods. Some of them, such as limited assumptions about …